Real-Time Cloud-Native AI Framework for Database Modernization with Wireless Connectivity and Robust Firewall Protection
DOI:
https://doi.org/10.15662/IJARCST.2025.0805018Keywords:
Cloud-Native AI, Real-Time Systems, Database Modernization, Wireless Connectivity, Firewall Security, Cybersecurity, AI-Driven Frameworks, Data Integrity, Network Optimization, Modern IT InfrastructureAbstract
The rapid growth of data-driven applications and wireless networks has necessitated the development of advanced frameworks that ensure real-time performance, security, and scalability. This study proposes a Real-Time Cloud-Native AI Framework designed for database modernization while integrating wireless connectivity and robust firewall protection. The framework leverages cloud-native architectures to enable scalable and adaptive AI-driven data processing, ensuring low-latency real-time operations. By combining intelligent data management techniques with wireless communication protocols, the system facilitates seamless access and synchronization across distributed environments. Additionally, the incorporation of advanced firewall mechanisms enhances cybersecurity, protecting sensitive data against evolving threats. Experimental evaluations demonstrate improved system responsiveness, secure data handling, and efficient resource utilization, highlighting the framework's potential for modern IT infrastructures requiring real-time intelligence, high security, and resilient connectivity.
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